Literature DB >> 28481039

Covariance J-resolved spectroscopy: Theory and application in vivo.

Zohaib Iqbal1, Gaurav Verma1, Anand Kumar2,3, M Albert Thomas1.   

Abstract

Magnetic resonance spectroscopy (MRS) is a powerful tool capable of investigating the metabolic status of several tissues in vivo. In particular, single-voxel-based 1 H spectroscopy provides invaluable biochemical information from a volume of interest (VOI) and has therefore been used in a variety of studies. Unfortunately, typical one-dimensional MRS data suffer from severe signal overlap and thus important metabolites are difficult to distinguish. One method that is used to disentangle overlapping resonances is the two-dimensional J-resolved spectroscopy (JPRESS) experiment. Due to the long acquisition duration of the JPRESS experiment, a limited number of points are acquired in the indirect dimension, leading to poor spectral resolution along this dimension. Poor spectral resolution is problematic because proper peak assignment may be hindered, which is why the zero-filling method is often used to improve resolution as a post-processing step. However, zero-filling leads to spectral artifacts, which may affect visualization and quantitation of spectra. A novel method utilizing a covariance transformation, called covariance J-resolved spectroscopy (CovJ), was developed in order to improve spectral resolution along the indirect dimension (F1 ). Comparison of simulated data demonstrates that peak structures remain qualitatively similar between JPRESS and the novel method along the diagonal region (F1 = 0 Hz), whereas differences arise in the cross-peak (F1 ≠0 Hz) regions. In addition, quantitative results of in vivo JPRESS data acquired on a 3T scanner show significant correlations (r2 >0.86, p<0.001) when comparing the metabolite concentrations between the two methods. Finally, a quantitation algorithm, 'COVariance Spectral Evaluation of 1 H Acquisitions using Representative prior knowledge' (Cov-SEHAR), was developed in order to quantify γ-aminobutyric acid and glutamate from the CovJ spectra. These preliminary findings indicate that the CovJ method may be used to improve spectral resolution without hindering metabolite quantitation for J-resolved spectra.
Copyright © 2017 John Wiley & Sons, Ltd.

Entities:  

Keywords:  J-resolved spectroscopy (JPRESS); Magnetic Resonance Spectroscopy (MRS); covariance NMR; enhanced spectral resolution; human brain; prior-knowledge fitting

Mesh:

Year:  2017        PMID: 28481039      PMCID: PMC5548697          DOI: 10.1002/nbm.3732

Source DB:  PubMed          Journal:  NMR Biomed        ISSN: 0952-3480            Impact factor:   4.044


  31 in total

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Authors:  M A Thomas; K Yue; N Binesh; P Davanzo; A Kumar; B Siegel; M Frye; J Curran; R Lufkin; P Martin; B Guze
Journal:  Magn Reson Med       Date:  2001-07       Impact factor: 4.668

2.  Covariance NMR in higher dimensions: application to 4D NOESY spectroscopy of proteins.

Authors:  David A Snyder; Fengli Zhang; Rafael Brüschweiler
Journal:  J Biomol NMR       Date:  2007-09-18       Impact factor: 2.835

3.  ProFit: two-dimensional prior-knowledge fitting of J-resolved spectra.

Authors:  Rolf F Schulte; Peter Boesiger
Journal:  NMR Biomed       Date:  2006-04       Impact factor: 4.044

Review 4.  Assessment of in vivo 1H magnetic resonance spectroscopy in the liver: a review.

Authors:  Frank Fischbach; Harald Bruhn
Journal:  Liver Int       Date:  2008-03       Impact factor: 5.828

Review 5.  Glutamate and glutamine: a review of in vivo MRS in the human brain.

Authors:  Saadallah Ramadan; Alexander Lin; Peter Stanwell
Journal:  NMR Biomed       Date:  2013-10-04       Impact factor: 4.044

6.  Detection of homonuclear decoupled in vivo proton NMR spectra using constant time chemical shift encoding: CT-PRESS.

Authors:  W Dreher; D Leibfritz
Journal:  Magn Reson Imaging       Date:  1999-01       Impact factor: 2.546

7.  ProFit revisited.

Authors:  Alexander Fuchs; Peter Boesiger; Rolf F Schulte; Anke Henning
Journal:  Magn Reson Med       Date:  2014-02       Impact factor: 4.668

8.  WET, a T1- and B1-insensitive water-suppression method for in vivo localized 1H NMR spectroscopy.

Authors:  R J Ogg; P B Kingsley; J S Taylor
Journal:  J Magn Reson B       Date:  1994-05

9.  3D spatially encoded and accelerated TE-averaged echo planar spectroscopic imaging in healthy human brain.

Authors:  Zohaib Iqbal; Neil E Wilson; M Albert Thomas
Journal:  NMR Biomed       Date:  2016-01-08       Impact factor: 4.044

Review 10.  Imaging in breast cancer: Magnetic resonance spectroscopy.

Authors:  Patrick J Bolan; Michael T Nelson; Douglas Yee; Michael Garwood
Journal:  Breast Cancer Res       Date:  2005-05-12       Impact factor: 6.466

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  1 in total

1.  Deep learning can accelerate and quantify simulated localized correlated spectroscopy.

Authors:  Zohaib Iqbal; Dan Nguyen; Michael Albert Thomas; Steve Jiang
Journal:  Sci Rep       Date:  2021-04-22       Impact factor: 4.379

  1 in total

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